Trade-off between urgency and reduced editorial capacity affect publication speed in ecological and medical journals during 2020 - Nature

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Trade-off between urgency and reduced editorial capacity affect publication speed in ecological and medical journals during 2020 - Nature
ARTICLE
                  https://doi.org/10.1057/s41599-021-00920-9               OPEN

                  Trade-off between urgency and reduced editorial
                  capacity affect publication speed in ecological and
                  medical journals during 2020
                  Lucas Rodriguez Forti            1 ✉,   Luiz A. Solino2,3 & Judit K. Szabo1,4
1234567890():,;

                  While the speed of publication in academic journals has decreased over time, delays in the
                  review process can still cause frustration and damage the authors’ career. During the COVID-
                  19 lockdown, scientists struggled to manage tasks and academic journals announced possible
                  publication delays due to reduced editorial capacity. In this context, COVID-19 research has
                  been somewhat paradoxical, due to societal and editorial pressures for fast publication. We
                  hypothesised that given the urgency of disseminating pandemic-related information, articles
                  on the topic would be published as a priority in 2020. We analysed the submission-to-
                  publication time lag for 5790 articles published between January 1, 2018 and December 31,
                  2020 in eight ecology and eight medical journals. We also analysed patterns in the gender of
                  first and last authors. All 16 journals were international, with relatively high impact factor
                  (between 2.34 and 36.13) and partially or fully open access. Even though articles in general
                  took longer to get published, the speed of publication increased in 2020, as the faster review
                  of 419 COVID-19 articles compensated for the longer submission-to-publication time lag of
                  non-COVID-19 publications. Manuscripts in journals with a higher impact factor and only
                  partial open access took longer to get published during the last three years. In 2020, the ratio
                  of articles with male and female first and last authors remained similar to that in 2019,
                  maintaining the gender bias in scientific productivity. Female scientists, especially when they
                  are providing maternity and other primary care, need more support for their careers, such as
                  relief from teaching duties and adjustments on assessment criteria to access research
                  funding. We advocate that topics besides COVID-19, particularly those that could help to
                  solve other urgent crises, should also benefit from faster publication.

                  1 Instituto de Biologia, Universidade Federal da Bahia, Rua Barão de Jeremoabo, 668 - Campus de Ondina, Salvador, Bahia 40170-115, Brazil. 2 Secretaria de

                  Estado de Educação de Mato Grosso, Rua Engenheiro Edgar Prado Arze, Quadra 01, Lote 05, Setor A - Centro Político Administrativo, Cuiabá, MT 78049-
                  906, Brazil. 3 Fundação Ecotrópica, Rua 03, 391, Boa Esperança, Cuiabá, MT 78068-375, Brazil. 4 College of Engineering, IT and Environment, Charles Darwin
                  University, Casuarina, NT 0909, Australia. ✉email: lucas_forti@yahoo.com.br

                  HUMANITIES AND SOCIAL SCIENCES COMMUNICATIONS | (2021)8:234 | https://doi.org/10.1057/s41599-021-00920-9                                                1
Trade-off between urgency and reduced editorial capacity affect publication speed in ecological and medical journals during 2020 - Nature
ARTICLE                                  HUMANITIES AND SOCIAL SCIENCES COMMUNICATIONS | https://doi.org/10.1057/s41599-021-00920-9

P
Background                                                                  submitting research they have conducted previously. The situa-
       ublication delays frustrate scientists who wait for months or        tion has also inspired an unprecedented number of scientific
       even years until they see their manuscripts published                publications that focused on different aspects of the pandemic
       (Nguyen et al., 2015). Repeated delays can trigger anxiety           itself, including actual and potential impacts (close to 100,000
and depression in authors, make them withdraw the publication               with the topic “COVID-19” according to the Scopus database on
or turn to predatory journals that can deliver at shorter time              February 09, 2021). Nevertheless, in 2020, many authors received
frames (Kurt, 2018). Unfortunately, the academic community is               the automated reply from journals upon submission: “We are
ruled by the “publish or perish” pressure, and with manuscripts             experiencing a higher volume of manuscript being submitted
trapped in the journals’ review systems, these delays can affect the        while operating under reduced editorial capacity due to restric-
career of scientists by costing them promotions, grants and col-            tions in place as a result of COVID-19, therefore it may take
laborations (Nguyen et al., 2015).                                          slightly longer to move papers through the system”. Thus, while
   Publishing delays not only affect the academic career of the             eager to fulfil society’s thirst for new information with regard to
authors, but also halt and impair decision-making, and delay                the pandemic, we are facing new obstacles that can increase
finding solutions to important problems in different societal                manuscript processing time by editors and reviewers for articles
spheres (Björk and Solomon, 2013). For instance, in the case of a           not strictly relevant to COVID-19.
novel disease, the sooner an effective treatment or prevention                 While based on anecdotal data and the personal experience of
method reaches the medical community, the more lives can be                 the authors it seemed like processing times (submission-to-pub-
saved. For this reason, the cost of legitimate time restraints or           lication time lags) for the submitted manuscripts have increased
procrastination by actors (authors, editors and reviewers)                  considerably, we wanted to test this formally. Our central ques-
involved in the revision process is often too high to pay and many          tion was whether the pandemic has changed submission-to-
authors choose preprint platforms to get their work disseminated            publication times in 2020 compared to the previous two years.
earlier or to get reviewed by a larger community of readers                 We also wanted to test if these changes in time lags were similar
(Kaiser, 2017; Johansson et al., 2018; Mercier et al., 2020).               for studies explicitly mentioning COVID-19 in the title or the
   While temporal trends in the submission-to-publication time              abstract compared to other topics in both medical and ecological
lag vary depending on the scientific area (Björk and Solomon,                publications. We hypothesised that in 2020 the time between
2013; Huisman and Smits, 2017), academic publication has                    submission and publication of an article would be longer com-
generally became slower in the past few decades (Ellison, 2002;             pared to the two previous years. However, we predicted that this
Alberts et al., 2008; Tort et al., 2012), possibly as a result of more      pattern would not hold for publications about COVID-19, which
rounds of reviews (Ellison, 2002). On the other hand, the emer-             were under societal (and editorial) pressure for faster progress.
gence of online publication, where journals often do not designate             Considering that the lockdown did not affect all scientists
individual articles into volumes and issues, has somewhat sped up           equally, we also addressed some complementary questions: Did
submission-to-publication times (Tort et al., 2012).                        the discipline of the journal (ecology or medicine), the number of
   Different journals have different editorial capacities, quantity,        authors and the number of pages of the article affect the
types and length of articles published, policy and deadlines for peer-      submission-to-revision time lag in the 16 journals we evaluated?
review, but their impact factor still seems to lead to faster publication   Has the pandemic affected the proportion of articles with male
(Huisman and Smits, 2017; Tort et al., 2012). Within journals, delays       and female first and last authors in ecology and medical journals?
may be due to the quality of manuscripts, the time editors spend to         And finally, was the impact factor of journals correlated to the
find available reviewers, the time reviewers take to return the review       average submission-to-publication time lag? The responses to
(Lotriet, 2012), and the time the authors need to resubmit their            these questions can help us gain an insight into the complex
revised manuscript (Björk and Solomon, 2013). Delays can also               effects of the pandemic on academic publishing during the first
emerge in the production stage, i.e., the time taken to publish an          year when large changes in social structure occurred.
article after it has gone through the peer-review process and has
been accepted (Yu et al., 2005; Luwel et al., 2020).
   Nevertheless, since early 2020, the submission-to-publication time       Methods
lag has been affected by a new factor, the COVID-19 pandemic                Data collection. We selected 16 high-impact journals, eight from
(Horbach, 2020). The COVID-19 pandemic has affected the health              medicine and eight from ecology (Table S1). We selected journals
of over a hundred million people and caused a global financial crisis        that were partially or fully open access with relatively high impact
perceivable already in 2020 (Mofijur et al., 2021). This year was also       factors (between 2.34 and 36.13) that we assumed represented
atypical for scientific research and publication (Stokstad, 2020).           publication trends in their fields. Being limited to open access
Among other activities, lockdowns have delayed or cancelled                 journals restricted the number of journals analysed, as often we
laboratory-based activities, as well as fieldwork, travel, workshops,        needed to open the pdfs of the articles to obtain the dates when the
conferences and other large meetings (Corlett et al., 2020; Pennisi,        manuscripts were received, reviewed and published. We manually
2020). With the collapse of public health systems around the world,         accessed articles on the webpage of each journal and analysed 5790
many medical scientists focused all their efforts on combating the          review and research articles published between the first issue of 2018
disease at the frontlines (Eisen et al., 2020). Primary carers (Myers       up to articles early online on December 31, 2020. For journals with
et al., 2020) and early-career researchers (Ahmed et al., 2020) in          less than 120 articles per year, we considered all qualifying articles.
particular found it more difficult to keep up with the workload              For other journals, we randomly selected an equal number of articles
under these conditions. While female scientists have been reported          within each issue to add up to 120 articles per year. Based on the
to be more negatively affected in general (Myers et al., 2020), as well     title, we categorised whether the article was relevant to some aspects
as in the medical field (Viglione, 2020), the proportion of female           of the COVID-19 pandemic. When the topic was not clear based on
authors who published in ecology journals did not decrease at the           the title, we read the abstract of the article. Articles were considered
beginning of the pandemic (Fox and Meyer, 2021), potentially as the         as related to COVID-19 when the words “COVID-19”, “SARS-
effects of the pandemic were not yet observable.                            COV2”, “pandemic” or “lockdown” were mentioned in the title or in
   Not being able to conduct fieldwork or new laboratory                     the abstract in relation to the COVID-19 pandemic. From each
experiments, many scientists have focused on writing up and                 article, we obtained the Digital Object Identifier, the number of

2                           HUMANITIES AND SOCIAL SCIENCES COMMUNICATIONS | (2021)8:234 | https://doi.org/10.1057/s41599-021-00920-9
Trade-off between urgency and reduced editorial capacity affect publication speed in ecological and medical journals during 2020 - Nature
HUMANITIES AND SOCIAL SCIENCES COMMUNICATIONS | https://doi.org/10.1057/s41599-021-00920-9                                                ARTICLE

 Table 1 Results of the three fitted generalised linear mixed models with journals as random effect.

                             Models
 Summary results             Log(timelag) ~ year +            Log(timelag_non_covid) ~ year +       Log(timelag_rev) ~
                             (1 | journal)                    (1 | journal)                         covid + discipline + authors + pages + (1 | journal)
 Number of articles          5787                             5368                                  1363
 REML criterion              8925.6                           7138.8                                2179.5
 Intercept                   Estimate = 5.158; CI [5.011,     Estimate = 5.123; CI [4.989, 5.255]   Estimate = 3.882; CI [3.522, 4.226] t-value = 20.592;
                             5.305] t-value = 70.880;         t-value = 77.618; p < 0.001           p < 0.001
                             p < 0.001
 Fixed effect (2020)         Estimate = −0.149; CI [−0.181,   Estimate = 0.032; CI [0.024,          Not applicable
                             −0.116] t-value = −9.001;        0.086] t-value = 3.479; p < 0.001
                             p < 0.001
 Fixed effect (2019)         Estimate = −0.011; CI [-0.044,   Estimate = 0.014; CI [−0.016,         Not applicable
                             0.023] t-value = −0.607;         0.044] t-value = 0.884; p = 0.376
                             p = 0.544
 Fixed effect                Not applicable                   Not applicable                        Estimate = −0.176; CI [−0.668, −0.462]
 (COVID-19)                                                                                         t-value = −10.755; p < 0.001
 Fixed effect                Not applicable                   Not applicable                        Estimate = 0.013; CI [−0.628, 0.640] t-value = 0.039;
 (Discipline)                                                                                       p = 0.9708
 Fixed effect                Not applicable                   Not applicable                        Estimate = 0.007; CI [0.0003, 0.0131] t-value = 2.091;
 (Number of                                                                                         p < 0.05
 authors)
 Fixed effect                Not applicable                   Not applicable                        Estimate = 0.006; CI [−0.001, 0.014] t-value = 1.457;
 (Number of pages)                                                                                  p = 0.1453

 CI = 95% confidence interval [lower, and higher limits].

authors, the name of the first and last authors (NA for last author if             correlation between these additional fixed factors. In this GLMM
the publication had only one author), date of submission, date of                 we used the following equation: “lmer(log(timelag_review)
revision (if applicable), and the date the manuscript was accepted                ~covid + area + authors + pages+(1|journal)”.
and published. Based on Julian dates, we calculated the number of                    For all GLMM models, we verified the normality of the
days between the date of submission and revision (i.e., the                       residues graphically using the qqnorm and qqline functions in R.
submission-to-revision time lag), between the date of submission                  After running the models, we checked the maximum residual
and acceptance (submission-to-acceptance time lag) and between                    likelihood values, the estimates for each fixed effect (effect size),
the date of submission and publication (submission-to-publication                 as well as their p-values individually, to explain the variation of
time lag). We used “NA” in our dataset to identify publications with              the residuals. We also calculated the 95% confidence interval
missing data in any of these fields, which were excluded from data                 using 1000 bootstrap iterations as a validation for each estimate
analysis. As some journals have an earlier date for first published                with the confint.merMod function of the lme4 package (Bates
online than the date of the printed issue (online-to-print publication            et al., 2015). CIs also indicate the precision around the model
lag), we used the date of the article appearing first online when                  estimated parameter (Nakagawa and Innes, 2007).
calculating submission-to-publication time in order to standardise                   To test whether the productivity of female lead authors
sampling. We identified the gender of the authors searching publicly               decreased during the pandemic, we compared the proportion of
available data on the internet based on the name and the institution              genders of the first and last authors for 2019 and 2020. We treated
of the researcher (institution homepage, Research Gate, Google                    publications in ecology and medicine separately and carried out a
Scholar, LinkedIn, etc.) looking for pictures, pronouns and other                 Fisher’s exact test with 95% of confidence interval using the
information referring to the researcher.                                          fisher.test function in R.
                                                                                     Finally, we correlated journal impact factor with the average
                                                                                  and standard deviation of the submission-to-publication time of
Data analysis. To test if the pandemic altered publication speed in               the same journal through Pearson correlations using the
2020, we compared the submission-to-publication time lag (response                functions cor, and cor.test in R.
variable) among volumes published in 2018, 2019 and 2020 through
a generalised linear mixed model (GLMM), with the journal as a
random factor and year as fixed factor (predictor variable) using the              Results
equation: “log(timelag)~year+(1 | journal)”. We also ran the GLMM                 Analysing publications between January 1, 2018 and December
only for non-COVID-19 articles in order to detect the effect of                   31, 2020, we found that the average submission-to-publication
pandemic on submission-to-publication time lag in the absence of                  time was shorter in 2020 than in 2018 and 2019 (n = 5787; model
COVID-19 articles. Since time lags are discrete data, we log-                     estimate for 2020 = –0.148 with 95% CI [–0.181, –0.116]; t-
transformed these values to achieve normal distribution. We used                  value = –9.001; p < 0.001; Table 1). Nine of the 16 analysed
the lmerTest (Kuznetsova et al., 2017) and lme4 (Bates et al., 2015)              journals had shorter submission-to-publication time lags in 2020,
packages in R version 4.0.2 (R Core Development Team, 2020).                      and it took longer to publish in 2019 than in 2018 in eight
   Given the pressures for a fast review, we also tested the effect of            journals (Table 2). Five journals presented multimodal distribu-
the publication topic (COVID-19 or not) on submission-to-                         tion curves with regard to the submission-to-publication time lag
revision time (response variable). We applied a GLMM to the log-                  in 2020 (Fig. 1).
transformed response variable and we used journal as random                          Even though in general it was faster to publish in 2020, the
factor and discipline (ecology or medicine), number of authors                    submission-to-publication time lag was longer in 2020 for non-
and number of pages as fixed factors (predictors), as we found no                  COVID-19 articles than in the previous two years (n = 5368; model

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Trade-off between urgency and reduced editorial capacity affect publication speed in ecological and medical journals during 2020 - Nature
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                                                                                                           Table 2 Summary statistics (mean, standard deviation, and n) of time in days between submission and publication for 16 academic journals.

                                                                                                           Journal                     Non-COVID19                                                                                                                                  COVID-19
                                                                                                                                       2018                                           2019                                           2020                                           2020
                                                                                                                                                                                                                                                                                                                                                                                           ARTICLE

                                                                                                                                       Mean ± SD                    n                 mean ± SD                     n                Mean ± SD                    n                 Mean ± SD                  n                All                                             Notes
                                                                                                           Ecology                     198.3 ± 113.3                 796              206.9 ± 109.1                 773              212.4 ± 109.2                 915              92.4 ± 34.2                17               206.7 ± 110.7                2594
                                                                                                           BMC Ecology                 237.6 ± 80.8                     58            235.7 ± 107.5                   49             235.6 ± 119.8                  66              NA                         0                236.3 ± 104.0                  173
                                                                                                           Cons. Letters               168.3 ± 70.1                     73             186.2 ± 81.1                   63             189.8 ± 93.4                   68              144.0                      1                185.0 ± 81.9                  272               66*
                                                                                                           Ecol&Evol                   214.2 ± 126.4                   114             180.5 ± 103.9                 120              181.6 ± 96.9                205               88.4 ± 37.6                12                185.8 ± 107.1                463               12
                                                                                                           Ecosphere                    131.0 ± 85.4                  148               151.1 ± 93.4                 120             209.1 ± 117.2                 144              91.0                       1                164.0 ± 105.1                 413
                                                                                                           Front.                      147.4 ± 87.9                    119             160.3 ± 63.2                  120             178.4 ± 76.1                   99              NA                         0                  161.1 ± 77.2                338
                                                                                                           Ecol. Evol.
                                                                                                           Landscape                   236.6 ± 99.5                   138              265.1 ± 116.3                 171              231.8 ± 116.9                 191             NA                         0                245.6 ± 114.7                  519              19
                                                                                                           Ecology
                                                                                                           Nat. Ecol. Evol.             285.3 ± 132.6                 113              263.1 ± 107.7                106              274.6 ± 111.8                 107              98.0                       1                275.3 ± 119.6                  334              6^
                                                                                                           PECON                        167.2 ± 61.1                   33              182.8 ± 93.5                  24              214.6 ± 79.9                   36              89.0 ± 17.0                2                186.7 ± 79.0                    99              4
                                                                                                           Medicine                     176.6 ± 103.7               1010               176.6 ± 94.3                 888              188.4 ± 94.3                  746              85.0 ± 52.7                401              166.4 ± 99.3                  3179              133
                                                                                                           BMC Medicine                 187.3 ± 66.9                  119              166.7 ± 55.1                  118             168.0 ± 53.6                  199              109.6 ± 41.0               39               167.7 ± 59.8                   475
                                                                                                           BMJ Open                     212.9 ± 79.7                 120               241.5 ± 81.8                 120              234.1 ± 96.7                  120              134.1 ± 40.6               135              203.5 ± 88.1                   495
                                                                                                           Clin.                         121.9 ± 55.2                285               129.9 ± 49.3                 168              134.2 ± 65.3                   46              39.4 ± 20.5                163              106.4 ± 59.5                   773              111
                                                                                                           Infect. Dis.
                                                                                                           eLife -                      157.0 ± 81.4                  133              144.6 ± 53.9                  128              162.3 ± 75.1                  46              67.0 ± 31.7                24               146.4 ± 71.8                   331
                                                                                                           Medicine
                                                                                                           J. Biomed. Sci.              126.7 ± 38.5                   88              117.6 ± 50.3                   91              155.8 ± 94.4                  97              54.3 ± 9.5                 3                  133.1 ± 68.6                 279
                                                                                                           J. Clin.                     162.2 ± 95.5                   49              173.8 ± 107.1                  79              141.2 ± 76.5                  87              100.1 ± 27.3               8                 158.5 ± 93.5                  239              15
                                                                                                           Immunol.
                                                                                                           Nature                       338.5 ± 176.9                  97              320.4 ± 177.0                  63             282.8 ± 138.0                  69              69.5 ± 25.4                13               306.4 ± 177.2                 249               7
                                                                                                           Medicine
                                                                                                           PLos Medicine                192.7 ± 56.3                  119               192.1 ± 43.9                 121             225.5 ± 62.4                   82              113.8 ± 18.0               16               196.7 ± 57.3                  338
                                                                                                           Grand total                  186.1 ± 108.5               1806               190.7 ± 102.5                1661             201.6 ± 103.4                1661              86.3 ± 55.5                419              184.1 ± 106.5                5790

                                                                                                           Number of articles published in 2018 with a publication date of 2017 (not included in the calculations of this table). One additional article published with publication a date of 2016 (marked with*) and one article published in 2020 with a date of 2021 (marked with ^).

HUMANITIES AND SOCIAL SCIENCES COMMUNICATIONS | (2021)8:234 | https://doi.org/10.1057/s41599-021-00920-9
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Trade-off between urgency and reduced editorial capacity affect publication speed in ecological and medical journals during 2020 - Nature
HUMANITIES AND SOCIAL SCIENCES COMMUNICATIONS | https://doi.org/10.1057/s41599-021-00920-9                                             ARTICLE

Fig. 1 Density curves of submission-to-publication time in 2018–2020 for 16 academic journals. Ecology journals are on the left, medical journals on the
right. Colours represent the probability distribution.

estimate for 2020 = 0.032 with 95% CI [0.024, 0.086]; t-                     male–female lead combination decreased in 2020 (Fig. 4). The
value = 3.479; P < 0.001; Table 1). This increasing trend in 2020 was        most frequent author combination for both ecology and medical
driven by exceptionally long publication delays (i.e., up to 912 days).      journals was male–male, while for medical journals male–female
Non-COVID-19 articles took longer to publish in 2020 than in 2019            was the least frequent first–last author combination for all 3 years.
in 11 journals (69% of the analysed journals; Table 2).                      In ecology, in 2020 the least frequent combination was
   The topic “COVID-19” decreased the length of the reviewing                male–female, while in earlier years, female–female combination
process (n = 1363; model estimate = –0.176 with 95% CI [–0.668,              was the least common. Among the 419 COVID-19 articles
–0.462]; t-value = –10.755; P < 0.001; Table 1). We back-                    (ecology and medical journals together), 26.4% had female first
transformed the estimates for easier interpretation and found                author and male last author, 21.2% had male first author and
that it takes on average 31 days less (CI [–39, –23]) to publish an          female last author, and only 14.2% had both leads female.
article about COVID-19 compared to other topics. Interestingly,                 Among medical journals, Clinical Infectious Diseases had the
all COVID-19 articles were published faster than the journals’               fastest submission-to-publication time (106.3 ± 59.4 days) and Nat-
average (Fig. 2). The model detected that the number of authors              ure Medicine had the slowest (306.4 ± 177.2 days). Among ecology
slightly increased the submission-to-revision time lag (n = 1363;            journals, Frontiers in Ecology and Evolution was the fastest
model estimate = 0.007 with 95% CI [0.0003, 0.0131];                         (161 ± 77.1 days) and Nature Ecology and Evolution the slowest
t-value = 2.091; P < 0.001), while the discipline and the number of          (275.3 ± 119.5 days). While there were more COVID-19 articles
pages had no effect. Articles published in 2018 and 2019 had an              published in medicine than in ecology (402 and 17, respectively), not
average submission-to-revision time of 150 ± 90 (n = 1898) and               all medical journals had faster submission-to-publication times
169 ± 112 (n = 1569) days for medicine and ecology, respectively.            compared to ecology journals (Fig. 5). We found positive correla-
COVID-19 articles had 72 ± 46 (n = 402) and 55 ± 31 (n = 17)                 tions between a journal’s impact factor and the average (n = 16;
days for the reviewing process for medicine and ecology,                     r = 0.563; P < 0.05) and standard deviation (n = 16; r = 0.633;
respectively. In fact, one COVID-19 article was accepted within a            P < 0.01) of their submission-to-publication time.
day and another 15 articles within a week of submission to
medical journals. For ecology journals, the fastest acceptance of a          Discussion
COVID-19 article was nine days.                                              In 2020, a new factor, the topic of COVID-19 appeared, which
   Even though COVID-19 was a topic relevant enough to be                    had a large effect on the submission-to-publication time of
published in ecology journals, we only found 17 publications in this         journals (Horbach, 2020). The pandemic did not only cause the
period in the sampled ecology journals. This, in fact is a major             “covidisation” of scientific publication (Pai, 2020), but also
limitation of our dataset based on the small contribution of samples         affected publication speed in an unbalanced way in both ecology
coming from ecology journals and also because of the high varia-             and medicine. We suspect that the multimodal distribution of the
bility (66%) among observations of the submission-to-revision                submission-to-publication times in 2020 that were observed in
time lag.                                                                    five journals, was an artefact of the faster processing time of
   We also tested if the pandemic affected the ratio of female and           COVID-19 articles, while manuscripts on other topics took
male lead authors during 2020. In general, the ratio of publica-             longer. These results were already detectable in April 2020 among
tions with male and female leads (both first and last authors) in             medical journals (Horbach, 2020), indicating the prioritisation of
2020 was similar to that in 2019 in both ecology and medicine                COVID-19 manuscripts by editors. According to our results,
(Table S2, Fig. 3). The number of publications of different                  some articles were published within a few days after submission,
first–last author gender combinations remained similar between                demonstrating the fast-tracking of articles relevant to this public
the years in medical journals. For ecology, the number of articles           health emergency. Other studies reported COVID-19 articles
with the female–female lead combination increased and                        accepted in a median time of under seven days (Kun, 2020;

HUMANITIES AND SOCIAL SCIENCES COMMUNICATIONS | (2021)8:234 | https://doi.org/10.1057/s41599-021-00920-9                                              5
Trade-off between urgency and reduced editorial capacity affect publication speed in ecological and medical journals during 2020 - Nature
ARTICLE                                   HUMANITIES AND SOCIAL SCIENCES COMMUNICATIONS | https://doi.org/10.1057/s41599-021-00920-9

Fig. 2 Distribution of submission-to-publication time in 2018–2020 for 16 academic journals. Ecology journals are on the left and medical journals on the
right. Light blue dots represent COVID-19 publications and red lines show the trend based on a non-linear regression model.

Fig. 3 The proportion of publications among lead (first and last) authors of different genders in ecology and medical journals in 2018–2020. a First
authors in ecology, b first authors in medicine, c last authors in ecology, and d last authors in medicine. Blue shading represents male, green represents
female and light green are authors of unidentified gender. The one (self-identified) transgender last author in ecology in 2018 is shown in dark blue.

Palayew et al., 2020), which is usually characteristic of predatory           publishing COVID-19 articles is understandable, many other topics,
journals (Beall, 2012). This astonishing speed of manuscript                  such as publications that offer solutions to the biodiversity crisis
management by journals that usually take months to publish                    (Kareiva et al., 2002) and urgent issues with regard to public health
articles have raised questions about the quality of the reviewing             and economy (Björk and Solomon, 2013) also need and deserve
process (Palayew et al., 2020; Benjamens et al., 2021). In fact,              faster editorial services. Articles are often published on preprint
there have been a higher number of retractions with regard to the             servers, but the reliability of the information on these platforms has
COVID-19 literature (da Silva et al., 2021) and some authors                  also been questioned (Kaiser, 2017). The mechanisms affecting the
advocate that increasing journals efficiency to reduce publication             length of the review process are known to be idiosyncratic and often
delays would facilitate the publication of lower-quality research             include the low responsiveness of reviewers and editors (Huisman
(Tiokhin et al., 2021). However, while many submitting authors                and Smits, 2017). Surprisingly, in 2020, reviewers of ecology journals
understand that high-quality peer-review takes time, we know                  replied to invitations to review and returned their reviews more
that if manuscripts reach the right reviewers in a timely manner              rapidly than previously (Fox and Meyer, 2021), which contrast with
and are prioritised by them, in extreme cases they can be reviewed            our results for non-COVID-19 articles. The results by Fox and
in a couple of days. Realistically, manuscripts can spend weeks (or           Meyer (2021) need to be interpreted with caution, as they are based
months) in the drawer of an editor or a reviewer (Ware and                    on data of only the first five months of the pandemic. An alternative
Mabe, 2015), often because of competing priorities.                           explanation can be that the cancellation of fieldwork and the
   The fast speed of publishing articles about COVID-19 has proven            interruption of teaching tasks made reviewers more available to
that journals are able to process articles rapidly even under the             review for these journals. We also found that the more authors a
unusual working conditions of the lockdown. While the urgency of              manuscript had, the more time the review process took, possibly as

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Fig. 4 Absolute number of publications among different first–last author combinations in ecology and medical journals in 2018–2020. Transgender
authors and those of unidentified gender are not shown.

such manuscripts take longer to be checked by all authors before             as lead authors than males (de Kleijn et al., 2020; Eigenberg and
resubmission. Submission-to-publication time may also depend on              Whalley, 2015; de Camargo and Hayashi, 2017). Furthermore, arti-
journal performance and features, such as being open access or early         cles written by female leads seem to receive fewer citations, possibly
online availability (Björk and Solomon, 2013; Sebo et al., 2019).            as a result of fewer international collaborations compared to male
Coincidentally, the three slowest journals in our study are considered       scientists (Larivière et al., 2013). A study analysing publications
“hybrid open access” (European Union, 2021). To our surprise,                between January 1 and June 5, 2020, found that the number of
publication time was positively correlated with the journals’ impact         articles with female first authors was 19% lower for COVID-19
factor, partially contradicting an earlier study (Huisman and Smits,         articles compared to articles published in the same medical journals
2017), which found highly ranked journals having faster submission-          in 2019 (Andersen et al., 2020; Viglione, 2020). Domestic and other
to-revision times among accepted articles.                                   tasks, particularly for female scientists who are often primary carers,
   Regardless of the journal, the pandemic likely hampered the               have diminished the time available for the production of articles,
progress of female main authors in 2020, maintaining the existing            potentially exacerbating the gender gap among main authors in 2020
gender bias (Santos et al., 2019; Filardo et al., 2016). This result is      (Collins et al., 2021; Squazzoni et al., 2020; Cui et al., 2021). Deter-
similar to the findings of a previous analysis of six ecology journals        mining the reasons for this gender gap in academic productivity in
until October, 2020 (Fox and Meyer, 2021). The magnitude of gender           science continues to be a complex task (Larivière et al., 2013).
bias varies among areas of study and countries (Salerno et al., 2020;        Although peer review and editorial processes in general do not seem
de Kleijn et al., 2020). Female are often proportionally less common         to influence decisions for manuscripts written by female authors

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ARTICLE                                  HUMANITIES AND SOCIAL SCIENCES COMMUNICATIONS | https://doi.org/10.1057/s41599-021-00920-9

Fig. 5 Average submission-to-publication time lag among 16 academic journals in order of increasing mean values from left to right. Ecology journals
are indicated by light blue and medical journals by dark blue.

(Squazzoni et al., 2021), the academic community needs to find ways          priority over other important topics with public health relevance.
to equalise this gender inequality. Actions could be taken for a higher     The possible uniformisation of science may somewhat threaten
gender diversity among editors of high-impact journals and to pro-          the resolution of other crises dependent on scientific data (Pai,
vide better support to female scientists, including allowing more time      2020). We also suggest additional actions to reduce the gender
for article resubmission. Younger female scientists should be invited       gap in productivity, which has been further exacerbated by the
more often to review manuscripts, giving them an opportunity to             pandemic, in order to provide more equal scientific production.
improve their writing skills (Lerback and Hanson, 2017). Also, as a         Finally, similar to articles on COVID-19, decreasing the
systematic solution, female faculty could receive more teaching             submission-to-publication time lag for all articles can reduce the
support or full relief from teaching duties, better support for child-      frustration of the submitting authors, minimise the damage to
care, and adjusted assessment criteria for candidates for research          their career by not submitting them to unnecessary delays, and
funding and tenured positions (Andersen et al., 2020).                      also disseminate knowledge faster on urgent matters.
   For future work, it would be interesting to look at a more nuanced
analysis using questionnaires with regard to regional, socioeconomic        Data and materials availability
and temporal patterns with regard to research and publication pro-          Data can be accessed at https://doi.org/10.5281/zenodo.4446285.
ductivity of authors, reviewers and editors. Journals could also
facilitate the analysis of publication data by making metadata more         Received: 9 February 2021; Accepted: 4 October 2021;
accessible for instance, via API. As we have collected data manually
from each article, we might have inadvertently introduced errors, but
we believe these to be non-directional. Similarly, the three authors
made a one-by-one decision for each article with regard to dealing
with COVID-19, discussing the few non-obvious cases, which
hopefully minimised the number of false-negatives and false                 References
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